The dynamics of iterated transportation simulations

Iterating between a router and a traffic micro-simulation is an increasibly accepted method for doing traffic assignment. This paper, after pointing out that the analytical theory of simulation-based assignment to-date is insufficient for some practical cases, presents results of simulation studies from a real world study. Specifically, we look into the issues of uniqueness, variability, and robustness and validation. Regarding uniqueness, despite some cautionary notes from a theoretical point of view, we find no indication of ``meta-stable'' states for the iterations. Variability however is considerable. By variability we mean the variation of the simulation of a given plan set by just changing the random seed. We show then results from three different micro-simulations under the same iteration scenario in order to test for the robustness of the results under different implementations. We find the results encouraging, also when comparing to reality and with a traditional assignment result. Keywords: dynamic traffic assignment (DTA); traffic micro-simulation; TRANSIMS; large-scale simulations; urban planningComment: 24 pages, 7 figure

ARTIFICIAL INTELLIGENCE RESEARCH IN PARTICLE ACCELERATOR CONTROL SYSTEMS FOR BEAM LINE TUNING*

Abstract Tuning particle accelerators is time consuming and expensive, with a number of inherently non-linear interactions between system components. Conventional control methods have not been successful in this domain, and the result is constant and expensive monitoring of the systems by human operators. This is particularly true for the start-up and conditioning phase after a maintenance period or an unexpected fault. In turn, this often requires a step by step restart of the accelerator. Surprisingly few attempts have been made to apply intelligent accelerator control techniques to help with beam tuning, fault detection, and fault recovery problems. The reason for that might be that accelerator facilities are rare and difficult to understand systems that require detailed expert knowledge about the underlying physics as well as months if not years of experience to understand the relationship between individual components, particularly if they are geographically disjoint. This paper will give an overview about the research effort in the accelerator community that has been dedicated to the use of artificial intelligence methods for accelerator beam line tuning

Identifying Management of Technology and innovation (MOT) and Technology Entrepreneurship (TE) centers of excellence

It has been over 15 years since the world's centers of research excellence in the management of technology and innovation (MOT) have been acknowledged. We have updated this area of interest through a new study on the current centers of excellence, furthering our investigation in the sub-field of technology entrepreneurship (TE). We based our study on the boundary conditions utilized in previous research, adding new metrics while retaining several of the old. We limited our data sample to peer-reviewed journal articles in recognized base journals. The centers’ research nature and quality were assessed via a series of 37 metrics. We found 809 schools with publications in MOT-recognized base journals and identified 77 non-U.S. centers in Asia, Australia, Europe, South and North America and 21 U.S. centers that meet our criteria for research excellence. Further, a detailed analysis was conducted for the 21 U.S.-based schools, considering metrics such as the number of publications by researchers during the study period, the MOT publication history, editorships of the professors of the centers in the base journals, and number of articles. Similarly, we identified 17 International centers of TE excellence out of the 348 schools that published in TE. We provide tiered results of the top schools excelling in selected areas

Identifying Management of Technology and innovation (MOT) and Technology Entrepreneurship (TE) centers of excellence

It has been over 15 years since the world's centers of research excellence in the management of technology and innovation (MOT) have been acknowledged. We have updated this area of interest through a new study on the current centers of excellence, furthering our investigation in the sub-field of technology entrepreneurship (TE). We based our study on the boundary conditions utilized in previous research, adding new metrics while retaining several of the old. We limited our data sample to peer-reviewed journal articles in recognized base journals. The centers’ research nature and quality were assessed via a series of 37 metrics. We found 809 schools with publications in MOT-recognized base journals and identified 77 non-U.S. centers in Asia, Australia, Europe, South and North America and 21 U.S. centers that meet our criteria for research excellence. Further, a detailed analysis was conducted for the 21 U.S.-based schools, considering metrics such as the number of publications by researchers during the study period, the MOT publication history, editorships of the professors of the centers in the base journals, and number of articles. Similarly, we identified 17 International centers of TE excellence out of the 348 schools that published in TE. We provide tiered results of the top schools excelling in selected areas

Comparison between three different traffic micro-simulations and reality in Dallas

We describe three traffic microsimulations which operate at different levels of fidelity. They are used to iteratively generate a self-consistent route-set based upon microsimulation feedback. We compare the simulation results of all three simulations to aggregated turn count data of actual field measurements

Real-time semantic context labeling for image understanding

The use of context information in a scene is an important aid for full semantic scene understanding in security and surveillance applications. To this end, this paper presents an innovative semantic context-labeling algorithm for three context classes, trading-off quality and real-time execution. Our system consists of three consecutive stages: image segmentation, region-based feature extraction and classification. We propose the joint use of the features color in HSV space, texture from Gabor filters and spatial context, in combination with the Directional Nearest Neighbor (DNN) method for constructing the undirected graph for segmentation. Compared to recent literature, this combination is over 35 times faster and achieves a coverability rate that is 65% higher

Real-time estimation of the 3D transformation between images with large viewpoint differences in cluttered environments

This work focuses on estimating an accurate 3D transformation in real time, which is used to register images acquired from different viewpoints. The main challenges are significant image appearance differences, which originate from lateral displacements and parallax, inconsistencies in our 3D model and achieving real-time execution. To this end, we propose a featurebased method using a single synthesized view, which can cope with significant image appearance differences. The 3D transformation is estimated using an EPnP refinement to minimize the influence of inconsistencies in the 3D model. We demonstrate that the proposed method achieves over 95% transformation accuracy for lateral displacements up to 350 cm, while still achieving 85% accuracy at displacements of 530 cm. Additionally, with a running time of 100 milliseconds, we achieve real-time execution as a result of efficiency optimizations and GPU implementations of time-critical components

Zur Wirksamkeit sozialer Beziehungen zwischen Vorgesetzten und Unterstellten in militaerischen Kollektiven als Triebkraft fuer die Erhoehung von Kampfkraft und Gefechtsbereitschaft

Militaerbibliothek Dresden - 87/34/0460 / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische InformationsbibliothekSIGLEDEGerman